Mourad Gridach

685 total citations
16 papers, 306 citations indexed

About

Mourad Gridach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Mourad Gridach has authored 16 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Language and Linguistics. Recurrent topics in Mourad Gridach's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Mourad Gridach is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Mourad Gridach collaborates with scholars based in Morocco, United Kingdom and Türkiye. Mourad Gridach's co-authors include Hatem Haddad, Hala Mulki, İsmail Babaoğlu, Irina Voiculescu, Robail Yasrab, Lior Drukker, J. Alison Noble, Jianbo Jiao and Aris T. Papageorghiou and has published in prestigious journals such as Neurocomputing, Neural Networks and Applied Soft Computing.

In The Last Decade

Mourad Gridach

14 papers receiving 281 citations

Peers

Mourad Gridach

AI

MB

CVPR

IS

RNMI

Tian Bai China

Ivan Eggel Switzerland

Maulik R. Kamdar United States

C. Gunavathi India

Reza Ghaeini United States

John X. Qiu United States

Stefano Marchesin Italy

Dezhao Song United States

Svetla Boytcheva Bulgaria

Tian Bai China

Mourad Gridach

97 ×0.4

AI

99 ×1.2

MB

50 ×0.9

CVPR

23 ×0.8

IS

28 ×1.1

RNMI

Citations per year, relative to Mourad Gridach Mourad Gridach (= 1×) peers Tian Bai

Countries citing papers authored by Mourad Gridach

Since Specialization

Citations

This map shows the geographic impact of Mourad Gridach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mourad Gridach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mourad Gridach more than expected).

Fields of papers citing papers by Mourad Gridach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mourad Gridach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mourad Gridach. The network helps show where Mourad Gridach may publish in the future.

Co-authorship network of co-authors of Mourad Gridach

This figure shows the co-authorship network connecting the top 25 collaborators of Mourad Gridach. A scholar is included among the top collaborators of Mourad Gridach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mourad Gridach. Mourad Gridach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Gridach, Mourad, et al.. (2024). Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio. PubMed. 2024. 1–4.

2.

Gridach, Mourad, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, & J. Alison Noble. (2023). D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation. PubMed. 58. 1–4. 1 indexed citations

3.

Gridach, Mourad. (2021). PyDiNet: Pyramid Dilated Network for medical image segmentation. Neural Networks. 140. 274–281. 43 indexed citations

4.

Gridach, Mourad & Irina Voiculescu. (2021). Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation. Oxford University Research Archive (ORA) (University of Oxford). 64. 1714–1717. 3 indexed citations

5.

Gridach, Mourad. (2020). A framework based on (probabilistic) soft logic and neural network for NLP. Applied Soft Computing. 93. 106232–106232. 17 indexed citations

6.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2020). Syntax-ignorant N-gram embeddings for dialectal Arabic sentiment analysis. Natural Language Engineering. 27(3). 315–338. 2 indexed citations

7.

Gridach, Mourad & Irina Voiculescu. (2020). OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation.. 26–29. 5 indexed citations

8.

Gridach, Mourad. (2020). Hybrid deep neural networks for recommender systems. Neurocomputing. 413. 23–30. 17 indexed citations

9.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2019). Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects. 30–39. 7 indexed citations

10.

Gridach, Mourad. (2017). Character-level neural network for biomedical named entity recognition. Journal of Biomedical Informatics. 70. 85–91. 147 indexed citations

11.

Gridach, Mourad, Hatem Haddad, & Hala Mulki. (2017). Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge. 21–30. 16 indexed citations

12.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2017). Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets. 664–669. 16 indexed citations

13.

Gridach, Mourad. (2016). Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media. International Conference on Computational Linguistics. 23–32. 24 indexed citations

14.

Gridach, Mourad, et al.. (2011). Developing a New System for Arabic Morphological Analysis and Generation. 52–57. 5 indexed citations

15.

Gridach, Mourad, et al.. (2011). Design and Realization of an Arabic Morphological Automaton: New Approach for Arabic Morphological Analysis and Generation.

16.

Gridach, Mourad, et al.. (2011). An XML Approach of Coding a Morphological Database for Arabic Language. Advances in Human-Computer Interaction. 2011. 1–15. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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